By Topic

Bistatic sonar data fusion based on extend kalman filter and its application

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Cheng Wang ; Northwestern Polytechnical University 19# 710072, NWPU, Xi'an CHINA ; Yingmin Wang ; Yao Yuan ; Linwei Tao

The extend kalman filter theory is studied thoroughly. The model of extend kalman filter is proposed. Three-dimensional extended Kalman filter fusion algorithm is derived based on the information from transmission stations and receiving stations of bistatic sonar system. As the bigger error of it in z direction, an improved three-dimensional extended Kalman filter fusion algorithm with measurements of elevation is given. The simulation results show that the new method improves the target motion analysis accuracy in z direction.

Published in:

Computer Engineering and Technology (ICCET), 2010 2nd International Conference on  (Volume:3 )

Date of Conference:

16-18 April 2010